--- title: ASI V2.5 ZeroGPU Demo emoji: šŸš€ colorFrom: blue colorTo: red sdk: gradio sdk_version: "4.44.0" app_file: app.py pinned: false license: mit --- # šŸš€ ASI V2.5: ZeroGPU H200 Performance Demo **REAL GPU ASI V2.5 Testing on NVIDIA H200!** This Space demonstrates the **Adaptive Structured Intelligence V2.5** attention mechanism running on **ZeroGPU H200** with **70GB VRAM** - finally showing the real speedups ASI was designed for! ## ✨ Features - šŸš€ **ZeroGPU H200**: NVIDIA H200 with 70GB VRAM (FREE with Pro!) - šŸ”„ **Real GPU Performance**: Actual CUDA optimizations and tensor cores - šŸ“ˆ **Long Sequences**: Test up to 8192 tokens (impossible on CPU) - ⚔ **Mixed Precision**: FP16 optimization for H200 - šŸŽÆ **Adaptive Attention**: Linear O(L) for long sequences, Exact O(L²) for short ## šŸŽÆ Performance Expectations | Sequence Length | Expected Speedup | Attention Type | |-----------------|------------------|----------------| | 1024 tokens | 1.2-1.5x | Linear | | 2048 tokens | 1.5-2.0x | Linear | | 4096 tokens | 2.0-2.5x | Linear | | 8192 tokens | 2.5x+ | Linear | ## šŸ”§ How to Use 1. Configure ASI parameters (threshold, feature_dim, etc.) 2. Set sequence lengths to test (try long ones!) 3. Click "Run ZeroGPU ASI V2.5 Test" 4. See REAL GPU speedups! ## šŸ’” Why ZeroGPU? - āœ… **FREE** with HuggingFace Pro ($9/mois) - āœ… **70GB VRAM** - handles very long sequences - āœ… **NVIDIA H200** - latest architecture - āœ… **8x quota** with Pro priority ## šŸ† Technical Details - **ASI V2.5**: Adaptive attention switching - **CUDA Optimized**: Tensor cores + mixed precision - **Memory Efficient**: 70GB VRAM utilization - **Production Ready**: Real deployment example ## šŸ“Š Links - šŸ¤— **Model**: [khopilot/asi-v25-longformer-core](https://huggingface.co/khopilot/asi-v25-longformer-core) - šŸ™ **GitHub**: [khopilot/asi-v25-longformer-core](https://github.com/khopilot/asi-v25-longformer-core) - šŸ“¦ **PyPI**: [asi-v25-longformer](https://pypi.org/project/asi-v25-longformer/) --- **Finally - ASI V2.5 running on real GPU with the speedups it was designed for!** šŸš€